For the attention of all supply chain academics, educators, students, and practitioners:
Lokad has just released its first Envision workshop, designed to provide university - particularly Master’s level - students with some practical experience using the advanced tools and principles Lokad (and some of its laggard contemporaries) leverages to manage supply chain complexity and optimize the allocation of scarce resources that have alternative uses.
The workshop takes the form of a fictitious case study in the retail sector, providing students with all the necessary information, guidance, and - importantly - data to assess the financial risk associated with the retail company’s suppliers.
Students will analyze the global trend of the fictitious company, as well as the profitability, leadtime reliability, and overall quality of its suppliers. From the professor’s perspective, the workshop provides all the required resources for an engaging and instructive workshop, including a dataset, interactive work environment, and case study with embedded links to help students locate and use the relevant Envision functionality1.
The workshop’s key aim is thus to provide students structured guidance in analyzing modern supply chain. This process realistically mirrors the real-life situations that Lokad’s generate recommendations for on a daily basis. Fresh paradigms require fresh tools (and mindsets), and I believe this workshop series will teach the wider supply chain community - both academic and professional - how to execute Lokad’s quantitative supply chain vision.
In closing, I would also like to thank Paul Jan for his significant and ongoing contributions to this supply chain project, without which this workshop series would have struggled to get off the ground2.
Paul Jan is, amongst other things, an Associate Professor at University of Toronto’s Rotman School of Management, where he teaches Operations and Supply Chain Management. He has more than 18 years of experience in the fields of education, manufacturing, and supply chain. ↩︎